The Cyber MagicGrid Methodology

The promise of MBSE is to be able to progressively model and simulate systems behaviour in accordance with the needs & scenarios of usage, at any time.

Model-based systems engineering (MBSE) is a relatively young practice for developing complex systems. MBSE is the use of models to support systems engineering to both understand the problem and define an optimal solution to solve it whilst greatly minimizing costly and time consuming engineering changes late in the development cycle. The promise of MBSE is to be able to progressively model and simulate systems behavior in accordance with the needs & scenarios of usage, at any time. This promise is about avoiding the discipline specific tunnel effect and giving project stakeholders the ability to continuously monitor the evolution of system development. If in Aerospace & Defense MBSE is a standard practice, in other Industries it is a novelty. One of the key success factors of MBSE is to apply best practices based on a sound systems engineering methodology.

• The operational layer is where the goal is to understand the operational use of the system, (seen as a black box) by all stakeholders.
• The functional layer is where the goal is to transform stakeholder needs into verifiable system requirements by defining system functions, identifying logical interfaces, and specifying measures of effectiveness.

• The solution layer is where the goal is to architect the solution that federates the disciplines: mechanical, electrical, fluid, electronics and software.
• The detail design of the solution is achieved by each of the disciplines, where the goal is to provide a specification for the implementation

• The implementation layer is where the assets that compose the solution are developed (hardware, software, 3D)